These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

313 related articles for article (PubMed ID: 28139677)

  • 1. Genetic algorithm for the optimization of features and neural networks in ECG signals classification.
    Li H; Yuan D; Ma X; Cui D; Cao L
    Sci Rep; 2017 Jan; 7():41011. PubMed ID: 28139677
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Arrhythmia Classification Based on Multi-Domain Feature Extraction for an ECG Recognition System.
    Li H; Yuan D; Wang Y; Cui D; Cao L
    Sensors (Basel); 2016 Oct; 16(10):. PubMed ID: 27775596
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients.
    Kutlu Y; Kuntalp D
    Comput Methods Programs Biomed; 2012 Mar; 105(3):257-67. PubMed ID: 22055998
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification.
    Li G; Tan Z; Xu W; Xu F; Wang L; Chen J; Wu K
    BMC Med Inform Decis Mak; 2021 Jul; 21(Suppl 2):99. PubMed ID: 34330266
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classification of electrocardiogram signals using deep learning based on genetic algorithm feature extraction.
    Khezripour H; Mozaffari SP; Reshadi M; Zarrabi H
    Biomed Phys Eng Express; 2023 Jul; 9(5):. PubMed ID: 37285819
    [TBL] [Abstract][Full Text] [Related]  

  • 6. High efficient system for automatic classification of the electrocardiogram beats.
    Zadeh AE; Khazaee A
    Ann Biomed Eng; 2011 Mar; 39(3):996-1011. PubMed ID: 21140292
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ECG beat classification using empirical mode decomposition and mixture of features.
    Sahoo S; Mohanty M; Behera S; Sabut SK
    J Med Eng Technol; 2017 Nov; 41(8):652-661. PubMed ID: 29111840
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Classification of the electrocardiogram signals using supervised classifiers and efficient features.
    Zadeh AE; Khazaee A; Ranaee V
    Comput Methods Programs Biomed; 2010 Aug; 99(2):179-94. PubMed ID: 20510478
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Combined wavelet transformation and radial basis neural networks for classifying life-threatening cardiac arrhythmias.
    al-Fahoum AS; Howitt I
    Med Biol Eng Comput; 1999 Sep; 37(5):566-73. PubMed ID: 10723893
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks.
    Zeng W; Yuan J; Yuan C; Wang Q; Liu F; Wang Y
    Artif Intell Med; 2020 Jun; 106():101848. PubMed ID: 32593387
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network.
    Atal DK; Singh M
    Comput Methods Programs Biomed; 2020 Nov; 196():105607. PubMed ID: 32593973
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.
    Alickovic E; Subasi A
    J Med Syst; 2016 Apr; 40(4):108. PubMed ID: 26922592
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Arrhythmia Classification of ECG Signals Using Hybrid Features.
    Anwar SM; Gul M; Majid M; Alnowami M
    Comput Math Methods Med; 2018; 2018():1380348. PubMed ID: 30538768
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network.
    Fang Y; Shi J; Huang Y; Zeng T; Ye Y; Su L; Zhu D; Huang J
    Comput Math Methods Med; 2022; 2022():9251225. PubMed ID: 35140808
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Identification of ECG Signals Using Wavelet Transform and WOA-PNN.
    Li N; He F; Ma W; Wang R; Jiang L; Zhang X
    Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746123
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Online Automatic Diagnosis System of Cardiac Arrhythmias Based on MIT-BIH ECG Database.
    Yan W; Zhang Z
    J Healthc Eng; 2021; 2021():1819112. PubMed ID: 34956556
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cardiac arrhythmia beat classification using DOST and PSO tuned SVM.
    Raj S; Ray KC; Shankar O
    Comput Methods Programs Biomed; 2016 Nov; 136():163-77. PubMed ID: 27686713
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Developing of robust and high accurate ECG beat classification by combining Gaussian mixtures and wavelets features.
    Alqudah AM; Albadarneh A; Abu-Qasmieh I; Alquran H
    Australas Phys Eng Sci Med; 2019 Mar; 42(1):149-157. PubMed ID: 30644045
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Robust algorithm for arrhythmia classification in ECG using extreme learning machine.
    Kim J; Shin HS; Shin K; Lee M
    Biomed Eng Online; 2009 Oct; 8():31. PubMed ID: 19863819
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification.
    Hariharan M; Sindhu R; Vijean V; Yazid H; Nadarajaw T; Yaacob S; Polat K
    Comput Methods Programs Biomed; 2018 Mar; 155():39-51. PubMed ID: 29512503
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.